ginkgo-cloud-lab
This Claude Code skill enables submission and management of laboratory protocols on Ginkgo Bioworks Cloud Lab, a platform for remote execution on Reconfigurable Automation Carts with robotic instrumentation. Use it when users need cell-free protein expression validation or optimization, fluorescent pixel art generation from images, or custom protocol feasibility assessments through the EstiMate AI agent, handling configuration, file uploads, pricing quotes, and order placement workflows.
git clone --depth 1 https://github.com/K-Dense-AI/scientific-agent-skills /tmp/ginkgo-cloud-lab && cp -r /tmp/ginkgo-cloud-lab/skills/ginkgo-cloud-lab ~/.claude/skills/ginkgo-cloud-labSKILL.md
# Ginkgo Cloud Lab ## Overview Ginkgo Cloud Lab (https://cloud.ginkgo.bio) provides remote access to Ginkgo Bioworks' autonomous lab infrastructure. Protocols are executed on Reconfigurable Automation Carts (RACs) -- modular units with robotic arms, maglev sample transport, and industrial-grade software spanning 70+ instruments. The platform also includes **EstiMate**, an AI agent that accepts human-language protocol descriptions and returns feasibility assessments and pricing for custom workflows beyond the listed protocols. ## Available Protocols ### 1. Cell Free Protein Expression Validation Rapid go/no-go expression screening using reconstituted E. coli CFPS. Submit a FASTA sequence (up to 1800 bp) and receive expression confirmation, baseline titer (mg/L), and initial purity with virtual gel images. - **Price:** $39/sample | **Turnaround:** 5-10 days | **Status:** Certified - **Details:** See [references/cell-free-protein-expression-validation.md](references/cell-free-protein-expression-validation.md) ### 2. Cell Free Protein Expression Optimization DoE-based optimization across up to 24 conditions per protein (lysates, temperatures, chaperones, disulfide enhancers, cofactors). Designed for difficult-to-express and membrane proteins. - **Price:** $199/sample | **Turnaround:** 6-11 days | **Status:** Certified - **Details:** See [references/cell-free-protein-expression-optimization.md](references/cell-free-protein-expression-optimization.md) ### 3. Fluorescent Pixel Art Generation Transform a pixel art image (48x48 to 96x96 px, PNG/SVG) into fluorescent bacterial artwork using up to 11 E. coli strains via acoustic dispensing. Delivered as high-res UV photographs. - **Price:** $25/plate | **Turnaround:** 5-7 days | **Status:** Beta - **Details:** See [references/fluorescent-pixel-art-generation.md](references/fluorescent-pixel-art-generation.md) ## General Ordering Workflow 1. Select a protocol at https://cloud.ginkgo.bio/protocols 2. Configure parameters (number of samples/proteins, replicates, plates) 3. Upload input files (FASTA for protein protocols, PNG/SVG for pixel art) 4. Add any special requirements in the Additional Details field 5. Submit and receive a feasibility report and price quote For protocols not listed above, use the **EstiMate** chat to describe a custom protocol in plain language and receive compatibility assessment and pricing. ## Authentication Access Ginkgo Cloud Lab at https://cloud.ginkgo.bio. Account creation or institutional access may be required. Contact Ginkgo at cloud@ginkgo.bio for access questions. ## Key Infrastructure - **RACs (Reconfigurable Automation Carts):** Modular robotic units with high-precision arms and maglev transport - **Catalyst Software:** Protocol orchestration, scheduling, parameterization, and real-time monitoring - **70+ integrated instruments:** Sample prep, liquid handling, analytical readouts, storage, incubation - **Nebula:** Ginkgo's autonomous lab facility in Boston, MA
How to use the Adaptyv Bio Foundry API and Python SDK for protein experiment design, submission, and results retrieval. Use this skill whenever the user mentions Adaptyv, Foundry API, protein binding assays, protein screening experiments, BLI/SPR assays, thermostability assays, or wants to submit protein sequences for experimental characterization. Also trigger when code imports `adaptyv`, `adaptyv_sdk`, or `FoundryClient`, or references `foundry-api-public.adaptyvbio.com`.
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